From f201da5ecde677c74afe1ca326c5ca1648d0a5fa Mon Sep 17 00:00:00 2001 From: Jens Elofsson Date: Tue, 23 Apr 2019 13:37:01 +0200 Subject: [PATCH] Fix compile warnings and pass the correct parameter to TestConvQuantized. --- .../lite/experimental/micro/kernels/conv_test.cc | 12 +----------- 1 file changed, 1 insertion(+), 11 deletions(-) diff --git a/tensorflow/lite/experimental/micro/kernels/conv_test.cc b/tensorflow/lite/experimental/micro/kernels/conv_test.cc index 537c9e4dba8..2818290288d 100644 --- a/tensorflow/lite/experimental/micro/kernels/conv_test.cc +++ b/tensorflow/lite/experimental/micro/kernels/conv_test.cc @@ -59,10 +59,6 @@ void TestConvFloat(std::initializer_list input_dims_data, TF_LITE_MICRO_EXPECT_NE(nullptr, registration); - int input_depth = input_dims->data[3]; - int output_depth = output_dims->data[3]; - int depth_mul = output_depth / input_depth; - TfLiteConvParams builtin_data = { .padding = kTfLitePaddingValid, .stride_width = 2, @@ -131,8 +127,6 @@ void TestConvQuantized( ::tflite::ops::micro::AllOpsResolver resolver; - const int intput_dims_count = ElementCount(*input_dims); - constexpr int inputs_size = 3; constexpr int outputs_size = 1; constexpr int tensors_size = inputs_size + outputs_size; @@ -155,10 +149,6 @@ void TestConvQuantized( TF_LITE_MICRO_EXPECT_NE(nullptr, registration); - int input_depth = input_dims->data[3]; - int output_depth = output_dims->data[3]; - int depth_mul = output_depth / input_depth; - TfLiteConvParams builtin_data = { .padding = kTfLitePaddingSame, .stride_width = 2, @@ -309,7 +299,7 @@ TF_LITE_MICRO_TEST(SimpleTestQuantized) { F2Q(-1, filter_min, filter_max), F2Q(-1, filter_min, filter_max), F2Q(1, filter_min, filter_max), F2Q(1, filter_min, filter_max), }, - input_min, input_max, {1, 3}, + filter_min, filter_max, {1, 3}, { F2Q32(1, bias_min, bias_max), F2Q32(2, bias_min, bias_max), F2Q32(3, bias_min, bias_max),